[HTML][HTML] Machine learning in metastatic cancer research: Potentials, possibilities, and prospects

OO Petinrin, F Saeed, M Toseef, Z Liu, S Basurra… - Computational and …, 2023 - Elsevier
Cancer has received extensive recognition for its high mortality rate, with metastatic cancer
being the top cause of cancer-related deaths. Metastatic cancer involves the spread of the …

Label-free multimodal electro-thermo-mechanical (ETM) phenotyping as a novel biomarker to differentiate between normal, benign, and cancerous breast biopsy …

AV GK, G Gogoi, MC Kachappilly, A Rangarajan… - Journal of Biological …, 2023 - Springer
Background Technologies for quick and label-free diagnosis of malignancies from breast
tissues have the potential to be a significant adjunct to routine diagnostics. The biophysical …

Deep Augmented Metric Learning Network for Prostate Cancer Classification in Ultrasound Images

X Lu, Y Guo, S Zhang, CC Wang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Prostate cancer screening often relies on cost-intensive MRIs and invasive needle biopsies.
Transrectal ultrasound imaging, as a more affordable and non-invasive alternative, faces the …

[引用][C] Modélisation et optimisation de systèmes complexes: application aux systèmes de flux de personnes

Z LOUHAB - 2024